{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 6: Future regressors"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To model future regressors, both past and future values of these regressors have to be known. So in contrast to the lagged regressors in the previous tutorial, future regressors also have a forecasted value for the future in addition to the historic values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "      <th>temperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>64.92</td>\n",
       "      <td>277.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-02</td>\n",
       "      <td>58.46</td>\n",
       "      <td>277.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-03</td>\n",
       "      <td>63.35</td>\n",
       "      <td>278.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>50.54</td>\n",
       "      <td>279.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>64.89</td>\n",
       "      <td>279.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           ds      y  temperature\n",
       "0  2015-01-01  64.92       277.00\n",
       "1  2015-01-02  58.46       277.95\n",
       "2  2015-01-03  63.35       278.83\n",
       "3  2015-01-04  50.54       279.64\n",
       "4  2015-01-05  64.89       279.05"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the dataset for tutorial 4 with the extra temperature column\n",
    "df = pd.read_csv(\"https://github.com/ourownstory/neuralprophet-data/raw/main/kaggle-energy/datasets/tutorial04.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = df.plot(x=\"ds\", y=[\"y\", \"temperature\"], figsize=(10, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "60f7d03804624b8d9191dd80dbda8f19",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Finding best initial lr:   0%|          | 0/229 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fb4c6a812a07423080021d3031c5cf96",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d390bab79cfc4c1789c8558e10d59e8b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 46it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(530.75,116.52)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(531.1,128.2)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(531.44,101.87)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(531.79,134.67)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(532.14,111.11)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(532.49,121.67)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(532.84,107.69)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(533.18,120.73)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(533.53,133.98)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(533.88,134.52)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(534.23,108.54)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(534.58,130.96)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(534.92,134.89)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(535.27,135.95)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(535.62,137.26)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(535.97,118.43)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(536.32,124.72)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(536.67,113.33)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(537.01,97.63)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(537.36,95.61)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(537.71,91.11)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(538.06,121.39)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(538.41,89.45)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(538.75,95.75)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(539.1,119.65)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(539.45,126.86)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/></g><g class=\"text\"/></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M42.5,299.75H616.5M42.5,23.25H616.5\" style=\"fill: none; stroke-width: 1.5px; stroke: rgb(235, 240, 248); stroke-opacity: 1;\"/><path class=\"ylines-above crisp\" d=\"M43.25,24V299M615.75,24V299\" style=\"fill: none; stroke-width: 1.5px; stroke: rgb(235, 240, 248); stroke-opacity: 1;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"312.5\" transform=\"translate(75.55,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\">2015</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"312.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(202.61,0)\">2016</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"312.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(330.02,0)\">2017</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"312.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(457.08,0)\">2018</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"312.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(584.15,0)\">2019</text></g></g><g class=\"yaxislayer-above\"><g class=\"ytick\"><text text-anchor=\"end\" x=\"40.5\" y=\"3.5\" transform=\"translate(0,258.23)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\">20</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"40.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,201.26)\">40</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"40.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,144.28)\">60</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"40.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,87.3)\">80</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"40.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,30.32)\">100</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-7eae2d\"><g class=\"clips\"/><clipPath id=\"legend7eae2d\"><rect width=\"74\" height=\"48\" x=\"0\" y=\"0\"/></clipPath><clipPath id=\"rangesliderx-7eae2d\"><rect x=\"0\" y=\"0\" width=\"571\" height=\"61.5\"/></clipPath></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"legend\" pointer-events=\"all\" transform=\"translate(626,24)\"><rect class=\"bg\" shape-rendering=\"crispEdges\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(255, 255, 255); fill-opacity: 1; stroke-width: 0px;\" width=\"74\" height=\"48\" x=\"0\" y=\"0\"/><g class=\"scrollbox\" transform=\"\" clip-path=\"url(#legend7eae2d)\"><g class=\"groups\"><g class=\"traces\" transform=\"translate(0,14.5)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"3.9\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">yhat1</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(45, 146, 255); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"68.859375\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g><g class=\"traces\" transform=\"translate(0,33.5)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"3.9\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">Actual</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"/><g class=\"legendsymbols\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(0, 0, 0); fill-opacity: 1;\"/></g></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"68.859375\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g></g><rect class=\"scrollbar\" rx=\"20\" ry=\"3\" width=\"0\" height=\"0\" style=\"fill: rgb(128, 139, 164); fill-opacity: 1;\" x=\"0\" y=\"0\"/></g><g class=\"rangeselector\" transform=\"\" style=\"cursor: pointer; pointer-events: all;\"><g class=\"button\" transform=\"\"><rect class=\"selector-rect\" shape-rendering=\"crispEdges\" rx=\"3\" ry=\"3\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(238, 238, 238); fill-opacity: 1; stroke-width: 0px;\" x=\"0\" y=\"0\" width=\"30\" height=\"19\"/><text class=\"selector-text\" text-anchor=\"middle\" x=\"15\" y=\"12.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">1w</text></g><g class=\"button\" transform=\"translate(35,0)\"><rect class=\"selector-rect\" shape-rendering=\"crispEdges\" rx=\"3\" ry=\"3\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(238, 238, 238); fill-opacity: 1; stroke-width: 0px;\" x=\"0\" y=\"0\" width=\"30\" height=\"19\"/><text class=\"selector-text\" text-anchor=\"middle\" x=\"15\" y=\"12.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">1m</text></g><g class=\"button\" transform=\"translate(70,0)\"><rect class=\"selector-rect\" shape-rendering=\"crispEdges\" rx=\"3\" ry=\"3\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(238, 238, 238); fill-opacity: 1; stroke-width: 0px;\" x=\"0\" y=\"0\" width=\"30\" height=\"19\"/><text class=\"selector-text\" text-anchor=\"middle\" x=\"15\" y=\"12.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">6m</text></g><g class=\"button\" transform=\"translate(105,0)\"><rect class=\"selector-rect\" shape-rendering=\"crispEdges\" rx=\"3\" ry=\"3\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(238, 238, 238); fill-opacity: 1; stroke-width: 0px;\" x=\"0\" y=\"0\" width=\"30\" height=\"19\"/><text class=\"selector-text\" text-anchor=\"middle\" x=\"15\" y=\"12.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">1y</text></g><g class=\"button\" transform=\"translate(140,0)\"><rect class=\"selector-rect\" shape-rendering=\"crispEdges\" rx=\"3\" ry=\"3\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(212, 212, 212); fill-opacity: 1; 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from neuralprophet import NeuralProphet, set_log_level\n",
    "\n",
    "# Disable logging messages unless there is an error\n",
    "set_log_level(\"ERROR\")\n",
    "\n",
    "# Model and prediction\n",
    "m = NeuralProphet(\n",
    "    n_changepoints=10,\n",
    "    yearly_seasonality=True,\n",
    "    weekly_seasonality=True,\n",
    "    daily_seasonality=True,\n",
    "    n_lags=10,\n",
    ")\n",
    "m.set_plotting_backend(\"plotly-static\")\n",
    "\n",
    "# Add the new future regressor\n",
    "m.add_future_regressor(\"temperature\")\n",
    "\n",
    "# Continue training the model and making a prediction\n",
    "metrics = m.fit(df)\n",
    "forecast = m.predict(df)\n",
    "m.plot(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(137.45999999999998,0)\">Jul 2015</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(212.77,0)\">Jan 2016</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(287.26,0)\">Jul 2016</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(362.57,0)\">Jan 2017</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(436.65,0)\">Jul 2017</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(511.96,0)\">Jan 2018</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(586.04,0)\">Jul 2018</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"183.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(661.35,0)\">Jan 2019</text></g></g><g class=\"yaxislayer-above\"><g class=\"ytick\"><text text-anchor=\"end\" x=\"34.5\" y=\"3.5\" transform=\"translate(0,155.64)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\">−8</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"34.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,119.23)\">−6</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"34.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,82.82)\">−4</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"34.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,46.41)\">−2</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"34.5\" y=\"3.5\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 10px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,10)\">0</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-ccf978\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\" transform=\"translate(0,-3.1500000000000057)\"><text class=\"xtitle\" x=\"364\" y=\"209.15\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">ds</text></g><g class=\"g-ytitle\" transform=\"translate(12.587890625,0)\"><text class=\"ytitle\" transform=\"rotate(-90,0.4125000000000014,90)\" x=\"0.4125000000000014\" y=\"90\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">Additive Future Regressors</text></g></g></svg>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m.plot_components(forecast, components=[\"future_regressors\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "m.plot_parameters(components=[\"future_regressors\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>epoch</th>\n",
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       "          MAE       RMSE      Loss  RegLoss  epoch\n",
       "0   67.432861  79.714500  0.789800      0.0      0\n",
       "1   40.313995  49.790257  0.434656      0.0      1\n",
       "2   23.730885  29.712715  0.221153      0.0      2\n",
       "3   13.360303  17.117233  0.094893      0.0      3\n",
       "4   10.110947  13.336704  0.061117      0.0      4\n",
       "..        ...        ...       ...      ...    ...\n",
       "95   4.837646   6.482005  0.016463      0.0     95\n",
       "96   4.830614   6.461479  0.016331      0.0     96\n",
       "97   4.829221   6.457165  0.016324      0.0     97\n",
       "98   4.823629   6.465248  0.016352      0.0     98\n",
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       "\n",
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     "execution_count": 6,
     "metadata": {},
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   "source": [
    "metrics"
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  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_residuals = pd.DataFrame({\"ds\": df[\"ds\"], \"residuals\": df[\"y\"] - forecast[\"yhat1\"]})\n",
    "fig = df_residuals.plot(x=\"ds\", y=\"residuals\", figsize=(10, 6))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.7 ('.venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0rc1"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "92c9cff0281419e73896333b85e681aea9374fd743c51074843eeada7c3f6baf"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
